INTELLIGENT USER INTERFACES: Adaptation and Personalization Systems and Technologies (Premier Reference Source) PDF
Preview INTELLIGENT USER INTERFACES: Adaptation and Personalization Systems and Technologies (Premier Reference Source)
Intelligent User Interfaces: Adaptation and Personalization Systems and Technologies Constantinos Mourlas National & Kapodistrian University of Athens, Greece Panagiotis Germanakos National & Kapodistrian University of Athens, Greece InformatIon scIence reference Hershey • New York Director of Editorial Content: Kristin Klinger Managing Development Editor: Kristin M. Roth Assistant Development Editor: Deborah Yahnke Editorial Assistant: Rebecca Beistline Senior Managing Editor: Jennifer Neidig Managing Editor: Jamie Snavely Assistant Managing Editor: Carole Coulson Typesetter: Michael Brehm Cover Design: Lisa Tosheff Printed at: Yurchak Printing Inc. Published in the United States of America by Information Science Reference (an imprint of IGI Global) 701 E. Chocolate Avenue, Suite 200 Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: Editorial Advisory Board Anna Sialarou Maria Golemati University of Cyprus, Cyprus National & Kapodistrian University of Athens, Greece Barry Smyth Maria Saridaki University College Dublin, Ireland National & Kapodistrian University of Athens, Greece Charis Rizopoulos Marios Belk National & Kapodistrian University of Athens, Greece University of Cyprus, Cyprus Christoforos Panayiotou Mathias Bauer University of Cyprus, Cyprus Mineway GmbH, Germany Dimitris Charitos Michalis Meimaris National & Kapodistrian University of Athens, Greece National & Kapodistrian University of Athens, Greece Dimos Georgiadis Mykola Pechenizkiy University of Cyprus, Cyprus Eindhoven University of Technology, Netherlands Fabio Grandi Nancy Alonistioti University of Bologna, Italy University of Piraeus, Greece Gheorghita Ghinea Panayiotis Andreou Brunel University, UK University of Cyprus, Cyprus Gregoris Mentzas Paul Brna National Technical University of Athens, Greece University of Edinburgh, UK Gulden Uchyigit Syed Sibte Raza Abidi Imperial College London, UK Dalhousie University, Canada José Rouillard Yang Wang Laboratoire LIFL-Trigone, France University of California, Irvine Table of Contents Foreword ............................................................................................................................................. xvi Preface ..............................................................................................................................................xviii Acknowledgment .............................................................................................................................. xxiv Section I Theoretical Aspects of Adaptive and Personalized User Interfaces Chapter I An Assessment of Human Factors in Adaptive Hypermedia Environments .......................................... 1 Nikos Tsianos, National & Kapodistrian University of Athens, Greece Panagiotis Germanakos, National & Kapodistrian University of Athens, Greece Zacharias Lekkas, National & Kapodistrian University of Athens, Greece Constantinos Mourlas, National & Kapodistrian University of Athens, Greece George Samaras, University of Cyprus, Cyprus Chapter II Case Studies in Adaptive Information Access: Navigation, Search, and Recommendation ................ 35 Barry Smyth, University College Dublin, Ireland Chapter III The Effects of Human Factors on the Use of Web-Based Instruction .................................................. 60 Sherry Y. Chen, Brunel University, Middlesex, UK Chapter IV The Next Generation of Personalization Techniques ............................................................................ 72 Gulden Uchyigit, Imperial College London, UK Section II Adaptive Content and Services Chapter V Advanced Middleware Architectural Aspects for Personalised Leading-Edge Services ...................... 94 Nancy Alonistioti, National & Kapodistrian University of Athens, Greece Costas Polychronopoulos, National & Kapodistrian University of Athens, Greece Makis Stamatelatos, National & Kapodistrian University of Athens, Greece Chapter VI Intelligent Information Personalization: From Issues to Strategies .................................................... 118 Syed Sibte Raza Abidi, Dalhousie University, Canada Chapter VII A Semantically Adaptive Interface for Measuring Portal Quality in E-Government ......................... 147 Babis Magoutas, National Technical University of Athens, Greece Christos Chalaris, National Technical University of Athens, Greece Gregoris Mentzas, National Technical University of Athens, Greece Chapter VIII Ontology-Based Personalization of E-Government Services ............................................................. 167 Fabio Grandi, Università di Bologna, Italy Federica Mandreoli, Università di Modena e Reggio Emilia, Italy Riccardo Martoglia, Università di Modena e Reggio Emilia, Italy Enrico Ronchetti, Università di Modena e Reggio Emilia, Italy Maria Rita Scalas, Università di Bologna, Italy Paolo Tiberio, Università di Modena e Reggio Emilia, Italy Chapter IX Context and Adaptivity-Driven Visualization Method Selection ....................................................... 188 Maria Golemati, University of Athens, Greece Costas Vassilakis, University of Peloponnese, Greece Akrivi Katifori, University of Athens, Greece George Lepouras, University of Peloponnese, Greece Constantin Halatsis, University of Athens, Greece Section III Adaptive Processing and Communication Chapter X Integrating Semantic Knowledge with Web Usage Mining for Personalization ................................ 205 Honghua Dai, DePaul University, USA Bamshad Mobasher, DePaul University, USA Chapter XI Adaptive Presentation and Scheduling of Media Streams on Parallel Storage Servers ..................... 233 Constantinos Mourlas, National & Kapodistrian University of Athens, Greece Section IV Innovative Applications with Adaptive Behaviour Chapter XII Impact of Cognitive Style on User Perception of Dynamic Video Content ....................................... 247 Gheorghita Ghinea, Brunel University, UK Sherry Y. Chen, Brunel University, UK Chapter XIII Building Digital Memories for Augmented Cognition and Situated Support ..................................... 262 Mathias Bauer, mineway GmbH, Germany Alexander Kröner, German Research Center for Artifcial Intelligence (DFKI GmbH), Germany Michael Schneider, German Research Center for Artifcial Intelligence (DFKI GmbH), Germany Nathalie Basselin, German Research Center for Artifcial Intelligence (DFKI GmbH), Germany Chapter XIV Open Learner Modelling as the Keystone of the Next Generation of Adaptive Learning Environments ...................................................................................................................................... 288 Rafael Morales, Universidad de Guadalajara, Mexico Nicolas Van Labeke, University of London, UK Paul Brna, University of Edinburgh, UK María Elena Chan, Universidad de Guadalajara, Mexico Chapter XV From E-Learning Tools to Assistants by Learner Modelling and Adaptive Behavior ........................ 313 Klaus Jantke, Research Institute for Information Technologies Leipzig, Germany Christoph Igel, Universität des Saarlandes, Germany Roberta Sturm, Universität des Saarlandes, Germany Chapter XVI Using Emotional Intelligence in Personalized Adaptation ................................................................. 326 Violeta Damjanovic, Salzburg Research, Austria Milos Kravcik, Open University Nederland, The Netherlands Section V Security, Privacy, and Personalization Chapter XVII Technical Solutions for Privacy-Enhanced Personalization ............................................................... 353 Yang Wang, University of California, Irvine, USA Alfred Kobsa, University of California, Irvine, USA Compilation of References .............................................................................................................. 377 About the Contributors ................................................................................................................... 414 Index ................................................................................................................................................... 423 Detailed Table of Contents Foreword ............................................................................................................................................. xvi Preface ..............................................................................................................................................xviii Acknowledgment .............................................................................................................................. xxiv Section I Theoretical Aspects of Adaptive and Personalized User Interfaces Chapter I An Assessment of Human Factors in Adaptive Hypermedia Environments .......................................... 1 Nikos Tsianos, National & Kapodistrian University of Athens, Greece Panagiotis Germanakos, National & Kapodistrian University of Athens, Greece Zacharias Lekkas, National & Kapodistrian University of Athens, Greece Constantinos Mourlas, National & Kapodistrian University of Athens, Greece George Samaras, University of Cyprus, Cyprus User profles serves as the main component of most Web personalization systems. With the use of various techniques that are based on given user preferences, navigation behaviour and the Web-based content returns the requested personalized result. Main scope of this chapter is to present the various techniques employed by such systems with regards to user profles extraction and introduce a comprehensive user profle, which includes User Perceptual Preference Characteristics. It further analyzes the main intrinsic users’ characteristics like visual, cognitive, and emotional processing parameters incorporated as well as the “traditional” user profle characteristics that together tend to give the most optimized, adapted and personalized outcome. It fnally presents a Web adaptation and personalization system that imple- ments the proposed comprehensive user profle as well as evaluation results that further support their importance and impact in the information space. Chapter II Case Studies in Adaptive Information Access: Navigation, Search, and Recommendation ................ 35 Barry Smyth, University College Dublin, Ireland Navigation, search, and recommendation each have their own set of challenges when it comes to fa- cilitating fast and effcient information access. This chapter considers a number of these challenges and describes how they can be addressed by using techniques that allow information services to respond more intelligently to the needs and preferences of individuals and groups of users. Each challenge is being addressed in the form of a case study focusing on one particular mode of information access (navigation, search, and recommendation) and an application scenario (mobile portals, Web search, and e-commerce), to describe how user profling, personalization, and adaptive interface design can be combined to produce a more effcient and effective information service. Chapter III The Effects of Human Factors on the Use of Web-Based Instruction .................................................. 60 Sherry Y. Chen, Brunel University, Middlesex, UK Web-based instruction is prevalent in educational settings, with many issues that still need to be inves- tigated. One of them is the signifcance of human factors, and how they infuence learners’ performance and perception in Web-based instruction. In this vein, the study presented in this chapter investigates this issue in a Web-based instructional program, which was applied to teach students how to use HyperText Markup Language (HTML) in a United Kingdom (UK) university. Chapter IV The Next Generation of Personalization Techniques ............................................................................ 72 Gulden Uchyigit, Imperial College London, UK Innovative personalization services are required to extend the traditional user profling techniques with semantic-based information. Using semantic-based information provides additional clues as to the reasons the user may or may not be interested in certain objects. The primary goal of this chapter is to present a comprehensive overview of the state-of-the art techniques and methodologies which integrate personalization technologies with semantic knowledge, exploring the challenges that such research areas pose to today’s information society. Section II Adaptive Content and Services Chapter V Advanced Middleware Architectural Aspects for Personalised Leading-Edge Services ...................... 94 Nancy Alonistioti, National & Kapodistrian University of Athens, Greece Costas Polychronopoulos, National & Kapodistrian University of Athens, Greece Makis Stamatelatos, National & Kapodistrian University of Athens, Greece The diversity of service access contexts, which is inevitable in the era of pervasive, “anywhere” computing, and the co-existence of different technologies caused by the evolutionary character of the
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